Helm.ai is building the next generation of AI technology for ADAS, autonomous driving, and robotics automation.

Helm.ai

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machine-learning-engineer

Helm.ai is an AI-first autonomy software company that builds vision-only, production-ready perception and autonomy stacks and generative-simulation foundation models for ADAS through Level 4 autonomous driving. The company provides on-vehicle real-time software (Helm.ai Vision, Helm.ai Driver) and offline training/validation tools (GenSim-2, VidGen-2, WorldGen-1) trained with its Deep Teaching™ unsupervised learning and generative AI to scale training, simulation, corner-case resolution, and deployment for production-bound projects. Helm.ai partners with global automakers such as Honda and Volkswagen to deliver scalable, vision-first autonomous driving solutions.

• Collaborate with researchers to perform research operations using existing infrastructure
• Characterize neural network quality, failure modes, and edge cases based on research data
• Maintain awareness of current trends in relevant research and technology
• Coordinate with researchers and accurately convey experiment status
• Manage concurrent experiments and estimate timelines for deadlines
• Review experimental results and suggest theoretical or process improvements
• Write technical reports with qualitative and quantitative results for external parties

Machine Learning Engineer

Machine Learning Engineer supporting Helm.ai’s neural-network research operations. Evaluating experiments, identifying failure modes, and reporting quantitative results for autonomous-driving technology.

• Collaborate with researchers to perform research operations using existing infrastructure
• Use judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems
• Characterize neural network quality, failure modes, and edge cases based on research data
• Maintain awareness of current trends in relevant areas of research and technology
• Coordinate with researchers and accurately convey status of experiments
• Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
• Review experimental results and suggest theoretical or process improvements for future iterations
• Write technical reports indicating qualitative and quantitative results to external parties

Machine Learning Engineer collaborating with researchers on neural network quality and applying standard techniques to technical problems. Maintaining awareness of current trends and managing concurrent experiments.

research-engineer

• Work collaboratively to improve our models and iterate on novel research directions
• Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
• Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
• Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

Research Engineer

Research Engineer role at Helm.ai focused on improving AI models and solving complex autonomous vehicle challenges. Collaborate with engineers on deep learning experiments and cutting-edge technologies.

• Focus on research and development related to the optimization of ML models on GPU’s or AI accelerators
• Use judgment in complex scenarios and apply optimization techniques to a wide variety of technical problems
• Research, prototype and evaluate state of the art model optimization techniques and algorithms
• Characterize neural network quality and performance based on research, experiment and performance data and profiling
• Incorporate optimizations and model development best practices into existing ML development lifecycle and workflow
• Define the technical vision and roadmap for DL model optimizations
• Write technical reports indicating qualitative and quantitative results to colleagues and customers
• Develop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platforms

Research Engineer, Optimization

Research Engineer focused on optimizing ML models on GPU’s or AI accelerators. Engaging in research, prototyping, and developing deep learning models.

Helm.ai

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Machine Learning Engineer

Helm.ai

Machine Learning Engineer

Helm.ai

Research Engineer

Helm.ai

Research Engineer, Optimization

Helm.ai